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position, you will lead the development of a probabilistic, error-aware surrogate model capable of delivering fast, uncertainty-quantified predictions for complex multiscale–multiphysics processes in OFPV
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damage evolution from pristine to end-of-life and establishing ground truth via inspections. Develop deep learning pipelines for fault detection, damage-type classification, health indicator extraction
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Trainees, National Trainees, Interns and Visiting Researchers, as applicable; conduct fundamental research on (hybrid) quantum computing algorithms (e.g., error detection/mitigation techniques, quantum
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